Objective　To understand the infection status and typing of Wolbachia in Culex pipiens pallens population in coastal areas of Shandong Province, and to provide new research directions and theoretical basis for the prevention and control of mosquito-borne diseases. Methods　From June 2022 to August 2023, mosquito samples were collected from 8 sites in four coastal cities of Yantai, Qingdao, Rizhao, and Dongying in Shandong Province by light lure method. The collected samples were identified as Culex pipiens pallens by combining morphological and molecular methods. Then, using the PCR detection method established by the Wolbachia surface protein (wsp) gene sequence, the Wolbachia infection rate of Culex pipiens pallens collected in the field from 8 sites along the coast of Shandong Province was detected. In addition, the representative strain of Wolbachia was downloaded from the GenBank database, and the obtained gene sequences were subjected to phylogenetic analysis using Mega5.2 software for typing. Results　Wolbachia infection was found in all four coastal areas of Shandong Province, with an average infection rate of 80.8% (261/323). Among them, Yanti had the highest infection rate of 100% (46/46), while Wulian County, Rizhao City had the lowest infection rate of 60.6% (20/33). A total of 12 wsp haplotypes were identified, with 92.5% infection rates for Hap1, 70.0% for Hap2, and lower rates for Hap3 to Hap12. From the perspective of haplotype sources, Hap1 was detected in all 8 sampling sites, while other haplotypes were only detected in some geographical populations of sampling sites. Among them, Dongying District, Dongying City had the highest haplotype diversity, with six haplotypes detected. Phylogenetic tree analysis concluded that the Wolbachia strains found in all eight sampling points belonged to group B. Conclusions　Infection of Wolbachia group B is common in Culex pipiens pallens in coastal areas of Shandong Province. Still, there are certain differences in the haplotypes of Wolbachia infections in different regions. This provides a valuable theoretical basis for targeted prevention and control of specific mosquito-borne diseases in the region．